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Webinar: Fully Accessible – Modernized and Intelligent Power Scheduling
June 30, 2020 @ 12:00 pm - 1:00 pm
For years, power scheduling, eTagging, and trade management have not been effectively streamlined and have only been provided by very limited number of software organizations. The connection between ETRM and Bid-to-Bill systems has been a void that many have avoided – seeing this problematic occurrence, Adapt2 Solutions has developed Adapt2 Trade to Tag (T2T).
The challenge: Energy tagging is a complex transaction that requires a software solution to schedule power while utilizing transmission correctly. These transactions also require high volumes of data with multiple location points. Legacy systems have not had the incentive to use modern technology with enhanced big data capabilities that are best suited and robust enough to handle these large volumes of data. Many PSEs can found themselves trapped. They are unable to access and report on data to make strategic decisions, are incurring unforeseen costs and are not being properly supported.
Migrating to a modernized power scheduling/tagging system will enhance your ability to make strategic decision based on transmission allocation formulas and built in machine learning capabilities. Data that was closed access is now open access and cost savings are realized through having to have only one robust tool that covers all APIs needed to properly tag within the North American energy markets.
Join the Adapt2 and MPUA Vice President, Rebecca Atkins for an upcoming webinar on how modernizing your eTagging system can lead to enhanced accessibility, more strategic decision, better integration and overall cost savings.
- NAESB Tag entity overview
- ISO Landscape and Trade Routes
- Understanding where a Trade goes
- The differences between a closed data and open data model for Energy Tagging Solutions
- How modernized solutions are better able to interact with multiple systems
- The advantages to utilizing Big Data solutions and A.I. in Energy Tagging
- Real life examples of ease of use and ability to formulate calculations for transmission allocations that drive strategic decisions